scholar.google.com › citations
Learning in Open-Ended Dynamic Distributed Environments. Doina Caragea. Artificial Intelligence Research Laboratory. Department of Computer Science. Iowa State ...
AAAI advances the understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines.
Understanding is individually mediated. In open-ended learning environments, the student judges what, when, and how learning will occur -.
People also ask
Why distributed practice sessions are better for learning?
What is distributed learning in deep learning?
In this paper, we report on the findings of employing a multimodal Hidden Markov Model (HMM) based methodology to investigate the temporal learning processes.
May 16, 2023 · Here we look at how to improve long interactions by applying RL to compose answers based on information extracted from reputable sources.
Mar 30, 2022 · Dynamic learning is active, engaging, and student-driven. It is often framed around open-ended tasks and projects that have a practical, real-world application.
Missing: Distributed | Show results with:Distributed
This article reports on a three and a half year design-led project investigating the use of open-ended learning to teach programming to students of interaction ...
Duration: 52:28
Posted: Dec 15, 2021
Posted: Dec 15, 2021
Missing: Dynamic Distributed
Jul 27, 2021 · This environment makes it possible to formulate new learning algorithms, which dynamically control how an agent trains and the games on which it ...
This article identifies seven categories of e-learning components or tools that can be used in e-learning programs to provide various features conducive to ...